Local Linear Estimation in Presence of Auxiliary Information

For a class of conditional expectation equation of dependent variable functions in a regression model, we propose the local linear estimators of regression function and its derivative based on the empirical likelihood method to utilize efficiently auxiliary information. It is shown that the proposed estimators have consistency and asymptotic normality with asymptotic variances less than those of the usual kernel estimators. Simulation study shows our estimators have good performance.